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Research Article

Scanning electron microscopy imaging of single-walled carbon nanotubes on substrates

Dongqi Li1Jin Zhang1Yujun He2,3Yan Qin4Yang Wei1( )Peng Liu1Lina Zhang1Jiaping Wang1,5Qunqing Li1,5Shoushan Fan1,5Kaili Jiang1,5( )
State Key Laboratory of Low-Dimensional Quantum PhysicsDepartment of Physics and Tsinghua-Foxconn Nanotechnology Research CenterTsinghua UniversityBeijing100084China
Sunwoda Electronic Co. Ltd.Shenzhen518108China
Graduate School at ShenzhenTsinghua UniversityShenzhen518055China
Carl Zeiss Shanghai Co., Ltd.Beijing Office, No. 1221, North Area,Building B, 768 Creative Industry ParkA-5 Xueyuan Rd., Haidian Dist.Beijing100083China
Collaborative Innovation Center of Quantum MatterBeijing100084China
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Abstract

Scanning electron microscopy (SEM) plays an indispensable role in nanoscience and nanotechnology because of its high efficiency and high spatial resolution in characterizing nanomaterials. Recent progress indicates that the contrast arising from different conductivities or bandgaps can be observed in SEM images if single-walled carbon nanotubes (SWCNTs) are placed on a substrate. In this study, we use SWCNTs on different substrates as model systems to perform SEM imaging of nanomaterials. Substantial SEM observations are conducted at both high and low acceleration voltages, leading to a comprehensive understanding of the effects of the imaging parameters and substrates on the material and surface-charge signals, as well as the SEM imaging. This unified picture of SEM imaging not only furthers our understanding of SEM images of SWCNTs on a variety of substrates but also provides a basis for developing new imaging recipes for other important nanomaterials used in nanoelectronics and nanophotonics.

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Nano Research
Pages 1804-1818
Cite this article:
Li D, Zhang J, He Y, et al. Scanning electron microscopy imaging of single-walled carbon nanotubes on substrates. Nano Research, 2017, 10(5): 1804-1818. https://doi.org/10.1007/s12274-017-1505-7
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Received: 14 November 2016
Accepted: 31 January 2017
Published: 10 March 2017
© Tsinghua University Press and Springer-Verlag Berlin Heidelberg 2017
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